A Course on Small Area Estimation and Mixed Models

DOI10.1007/978-3-030-63757-6zbMath1464.62009OpenAlexW3138186977MaRDI QIDQ4963513

Tomáš Hobza, A. Pérez, María Dolores Esteban, Domingo Morales

Publication date: 18 February 2021

Published in: Statistics for Social and Behavioral Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-63757-6

zbMATH Keywords

small area estimationmixed model

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Related Items (7)

On the use of aggregate survey data for estimating regional major depressive disorder prevalence ⋮ Benchmarked linear shrinkage prediction in the Fay–Herriot small area model ⋮ Robust prediction of domain compositions from uncertain data using isometric logratio transformations in a penalized multivariate Fay–Herriot model ⋮ Small area estimation of average compositions under multivariate nested error regression models ⋮ Three-fold Fay-Herriot model for small area estimation and its diagnostics ⋮ Small area estimation of proportion-based indicators ⋮ An area-level gamma mixed model for small area estimation

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